Back to Search
Start Over
An Analytical Game for Knowledge Acquisition for Maritime Behavioral Analysis Systems
- Source :
- Applied Sciences, Vol 10, Iss 2, p 591 (2020), Applied Sciences, Volume 10, Issue 2
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- The use of Bayesian networks for behavioral analysis is gaining attention. The design of such algorithms often makes use of expert knowledge. The knowledge is collected and organized during the knowledge acquisition design task. In this paper, we discuss how analytical games can be exploited as knowledge acquisition techniques in order to collect information useful to intelligent systems design. More specifically, we introduce a recently developed method, called the MARISA (MARItime Surveillance knowledge Acquisition) Game. The aim of this game is to ease the elicitation from domain experts of a considerable amount of conditional probabilities to be encoded into a maritime behavioral analysis service based on a multi-source dynamic Bayesian network. The game has been deployed in two experiments. The main objectives of such experiments are the validation of the network structure, the acquisition of the conditional probabilities for the network, and the overall validation of the game method. The results of the experiment show that the objectives have been met and that the MARISA Game proved to be an effective and efficient approach.
- Subjects :
- 0209 industrial biotechnology
Service (systems architecture)
Computer science
Knowledge engineering
analytical game
02 engineering and technology
Machine learning
computer.software_genre
information systems
lcsh:Technology
lcsh:Chemistry
020901 industrial engineering & automation
0502 economics and business
Information system
General Materials Science
simulation game
Instrumentation
knowledge engineering
lcsh:QH301-705.5
Dynamic Bayesian network
Fluid Flow and Transfer Processes
behavioral analysis
knowledge acquisition
knowledge-base
Maritime
multi-source
dynamic bayesian network
business.industry
lcsh:T
Process Chemistry and Technology
05 social sciences
General Engineering
Intelligent decision support system
Bayesian network
Knowledge acquisition
lcsh:QC1-999
Computer Science Applications
Knowledge base
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
maritime
Artificial intelligence
business
lcsh:Engineering (General). Civil engineering (General)
computer
050203 business & management
lcsh:Physics
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 10
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....e4a382befe531f4165418cae1501ad02